DRL-based Content Caching Strategy With Efficient User Preference Predictions in UAV-assisted VEC
In vehicular edge computing, Unmanned Aerial Vehicles (UAVs) have become a feasible
solution for addressing high deployment costs faced by base stations in congested roads …
solution for addressing high deployment costs faced by base stations in congested roads …
Multi-Agent Reinforcement Learning-Based Joint Caching and Routing in Heterogeneous Networks
In this paper, we explore the problem of minimizing transmission cost among cooperative
nodes by jointly optimizing caching and routing in a hybrid network with vital support of …
nodes by jointly optimizing caching and routing in a hybrid network with vital support of …
Optimizing Network Performance Through Joint Caching and Recommendation Policy for Continuous User Request Behavior
Q Ning, M Yang, C Tang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Edge caching is a widely adopted technique for improving network performance and user
experience. To optimize its benefits, researchers are exploring the use of recommendation …
experience. To optimize its benefits, researchers are exploring the use of recommendation …
Social-Aware Assisted Edge Collaborative Caching Based on Deep Reinforcement Learning Joint With Digital Twin Network in Internet of Vehicles
G Chen, W Duan, J Sun, Q Zeng… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the development of Intelligent Transportation Systems (ITS), edge caching has
gradually emerged as a critical technology to reduce transmission delay and optimize …
gradually emerged as a critical technology to reduce transmission delay and optimize …
Deep Reinforcement Learning-Based Joint Caching and Routing in AI-Driven Networks
M Yang, D Gao, W Zhang, D Yang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
To reduce redundant traffic transmission in both wired and wireless networks, optimal
content placement problem naturally occurring in many applications is studied. In this paper …
content placement problem naturally occurring in many applications is studied. In this paper …
Caching and Computing Resource Allocation in Cooperative Heterogeneous 5G Edge Networks using Deep Reinforcement Learning
In this work, we explore a framework for a 5G non-standalone (NSA) heterogeneous
network, to meet heterogeneous content requests for users moving in vehicles. We consider …
network, to meet heterogeneous content requests for users moving in vehicles. We consider …
A social-aware video sharing solution using demand prediction of epidemic-based propagation in wireless networks
S Jia, Y Cui, X Su, Z Liang - Multimedia Systems, 2023 - Springer
The video services that account for the majority of global network traffic consume significant
amounts of electricity and network resources to meet the large-scale demand of users …
amounts of electricity and network resources to meet the large-scale demand of users …
Optimizing Multi-Tier Cellular Networks With Deep Learning for 6G Consumer Electronics Communications
The imminent arrival of 6th Generation (6G) consumer electronics wireless networks heralds
a paradigm shift in communication necessitated by diverse quality-of-service (QoS) …
a paradigm shift in communication necessitated by diverse quality-of-service (QoS) …
Management of Caching Policies and Redundancy over Unreliable Channels
P Sena, A Abelem, G Dán… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Caching plays a central role in networked systems, reducing the load on servers and the
delay experienced by users. Despite their relevance, networked caching systems still pose a …
delay experienced by users. Despite their relevance, networked caching systems still pose a …
Adaptive Streaming Transmission Optimization Method Based on Three-Dimensional Caching Architecture and Environment Awareness in High-Speed Rail
J Guo, Y Zhu, J Zhu, F Shen, H Gao, Y Tian - Electronics, 2023 - mdpi.com
In high-mobility scenarios, a user's media experience is severely constrained by the difficulty
of network channel prediction, the instability of network quality, and other problems caused …
of network channel prediction, the instability of network quality, and other problems caused …